[grfia]
+ General Information
+ Members
+ Research
+ Intranet

PRAIg '16 / +pics

[]



AERFAI Summer School on Deep Learning

[]

Alicante July 5-6, 2017

10th international workshop on Machine Learning and Music

[]

Barcelona: 16th October 2017

Publications:

All

  1. Pertusa, A.; Iñesta, J.M.
    "Multiple fundamental frequency estimation based on spectral pattern loudness and smoothness"
    MIREX 2007 - Music Information Retrieval Evaluation eXchange, MIREX Fundamental Frequency Estimation & Tracking Contest., Vienna, Austria (2007)
    : bibtex : pdf : MIREX contest 2007 in ISMIR
    Abstract:

    Two multiple fundamental frequency estimation systems are presented in this work. In the first one (PI1, PI2), the best fundamental frequency candidates combination is found in a frame-by-frame analysis by applying a set of rules, taking into account the spectral smoothness measure described in this work. The second system (PI3) was used to extract symbolic features for audio genre classification in a fast way, so the evaluation of this system can reveal the potential of another similar approaches to support these kind of tasks.

@inproceedings {
 author = "Pertusa, A.; Iñesta, J.M.",
 title  = "Multiple fundamental frequency estimation based on spectral pattern loudness and smoothness",
 address = "Vienna, Austria",
 booktitle = "MIREX 2007 - Music Information Retrieval Evaluation eXchange, MIREX Fundamental Frequency Estimation & Tracking Contest.",
 year = "2007"
}
Resources associated with this publication
Valid XHTML 1.0!Valid CSS!